Philip E. Goins
Impact in
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- Graphene research and applications
- Carbon and Quantum Dots Applications
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- Graphene and Nanomaterials Applications
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Microstructure and mechanical properties 2
- Carbon and Quantum Dots Applications 1
- Graphene research and applications 1
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- Aluminum Alloy Microstructure Properties 3
- Co-authors
- Jiaxing Huang (1 shared paper)Alvin T. L. Tan (1 shared paper)Laura J. Cote (1 shared paper)Jinsong Wu (1 shared paper)Jiayan Luo (1 shared paper)Vincent Tung (1 shared paper)William E. Frazier (1 shared paper)Elizabeth A. Holm (1 shared paper)
- Journals
- Computational Materials Science (2 papers)Journal of the American Chemical Society (1 paper)Machine Learning Science and Technology (1 paper)Acta Materialia (1 paper)
- Partner nations
- United States
In The Last Decade
Philip E. Goins
6 papers receiving 416 citations
Peers
Comparison fields: 5 of 54
- Materials Chemistry 317
- Biomedical Engineering 199
- Electronic, Optical and Magnetic Materials 59
- Renewable Energy, Sustainability and the Environment 42
- Biomaterials 29
Countries citing papers authored by Philip E. Goins
This map shows the geographic impact of Philip E. Goins's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philip E. Goins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip E. Goins more than expected).
Fields of papers citing papers by Philip E. Goins
This network shows the impact of papers produced by Philip E. Goins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philip E. Goins. The network helps show where Philip E. Goins may publish in the future.
Co-authors
The 12 scholars most cited alongside Philip E. Goins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 341 | |
| 2 | 2020 | 30 | |
| 3 | 2016 | 21 | |
| 4 | 2018 | 19 | |
| 5 | 2023 | 5 | |
| 6 | Anisotropic Grain Growth Modeling under the SPPARKS Framework | 2018 | 2 |
About Philip E. Goins
Philip E. Goins is a scholar working on Materials Chemistry, Aerospace Engineering, Mechanics of Materials, Mechanical Engineering and Information Systems, having authored 6 papers that have together received 418 indexed citations. Recurring topics across this work include Aluminum Alloy Microstructure Properties (3 papers), Metallurgy and Material Forming (2 papers), Microstructure and mechanical properties (2 papers), Carbon and Quantum Dots Applications (1 paper), Advanced ceramic materials synthesis (1 paper), Computational Drug Discovery Methods (1 paper), Graphene research and applications (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Materials Chemistry (317 citations), Biomedical Engineering (199 citations), Electronic, Optical and Magnetic Materials (59 citations), Renewable Energy, Sustainability and the Environment (42 citations) and Biomaterials (29 citations). Philip E. Goins has collaborated with scholars based in United States. Frequent co-authors include Jiaxing Huang, Alvin T. L. Tan, Laura J. Cote, Jinsong Wu, Jiayan Luo, Vincent Tung, William E. Frazier, Elizabeth A. Holm, Mark A. Tschopp and Heather A. Murdoch. Their work appears in journals such as Computational Materials Science, Journal of the American Chemical Society, Machine Learning Science and Technology and Acta Materialia.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.